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#!/usr/bin/expect

mkdir ~/bin
cd ~/bin
wget https://gist.githubusercontent.com/groakat/ae74323933678c6ad04a/raw/1b871efcec60dc739a8c61f2a504d52ce4033dd3/gst-head
chmod +x gst-head

mkdir -p ~/src/gstreamer1/head

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dummy file

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import os
import glob

import dlib
import numpy as np

import pyTools.system.videoExplorer as VE
import pyTools.videoProc.annotation as A

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import scipy.io.wavfile
import pandas as pd

sound = scipy.io.wavfile.read('../data/day.wav')
pd.DataFrame(sound[1]).to_csv('../data/wav.csv', index=False, header=False)

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# The script MUST contain a function named azureml_main
# which is the entry point for this module.
#
# The entry point function can contain up to two input arguments:
#   Param<dataframe1>: a pandas.DataFrame
#   Param<dataframe2>: a pandas.DataFrame


def azureml_main(dataframe1 = None, dataframe2 = None):
    from scipy.fftpack import fft

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def SpecGen(self, filepath):
        """
        Code to generate spectrogram adapted from code posted on https://mail.python.org/pipermail/chicago/2010-December/007314.html by Ken Schutte (kenshutte@gmail.com)
        """

        sr, x = scipy.io.wavfile.read(filepath)
    
        ## Parameters
        nstep = int(sr * self.specNStepMod)
        nwin  = int(sr * self.specNWinMod)

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